Abstract
Social networking sites have recently received a lot of attention, which is particularly popular, provides a personal newsfeed of posts that is shared with friends. To enable users to quickly browse the most important and useful newsfeed posts from friends, the sites provides a newsfeed filter to show the top news for users. However, the selected results may not conform to the individual’s viewing needs. This study proposes a newsfeed filter system on Facebook, which utilizes an artificial bee colony algorithm to provide adaptive newsfeed posts based on individual preferences. The experimental results indicate that the proposed method improves the accuracy of the newsfeed filter and outperforms other methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
